Medical Technology

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/xAASWKqFag

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning #AMIA2022 https://t.co/LvndChK6Cw

@Radiology_AI 1 year ago

T - 6 hours: Don't miss the Nov #RadAIchat this Wed. Nov. 2nd at 8 PM ET on #AI for #AutoSegmentation in medical imaging, moderated by @MDohopolski and featuring @XueyanMei @SoleilHernandez @SteveJiangPhD #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/TAUHyu3Z1n

@Radiology_AI 1 year ago

T - 1 Day: Don't miss the Nov #RadAIchat this Wed. Nov. 2nd at 8 PM ET on #AI for #AutoSegmentation in medical imaging, moderated by @MDohopolski and featuring @XueyanMei @SoleilHernandez @SteveJiangPhD #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/aPacgdC2KW

@Radiology_AI 1 year ago

Radiologists can offer important contributions to medical student education in #AI https://doi.org/10.1148/ryai.220074 @uazmedphx #MedEd #MachineLearning #ML https://t.co/UbTAada3mc

@Radiology_AI 1 year ago

Radiologists can offer important contributions to medical student education in #AI https://doi.org/10.1148/ryai.220074 @uazmedphx #MedEd #RadEd #MachineLearning https://t.co/acOSuf50wo

@Radiology_AI 1 year ago

Point / Counterpoint: Is there room for #AI in medical school? https://doi.org/10.1148/ryai.220074 @uazmedphx #MedEd #MachineLearning #ML https://t.co/3Q34Zg5tXP

@Radiology_AI 1 year ago

Radiologists can offer important contributions to medical student education in #AI https://doi.org/10.1148/ryai.220074 @uazmedphx #MedEd #RadEd #MachineLearning https://t.co/JVv61gnnSF

@Radiology_AI 1 year ago

#AI models trained on radiology images offer a better starting point for transfer learning in medical imaging https://doi.org/10.1148/ryai.210315 @zahifayad @BMEIIsinai @IcahnMountSinai #DeepLearning #ML #MachineLearning https://t.co/0BxL3KvLfG

@Radiology_AI 1 year ago

Radiologists can offer important contributions to medical student education in #AI https://doi.org/10.1148/ryai.220074 @uazmedphx #MedEd #MachineLearning #education https://t.co/0y02W63BMv

@Radiology_AI 1 year ago

Radiologists can offer important contributions to medical student education in #AI https://doi.org/10.1148/ryai.220074 @uazmedphx #RadEd #MachineLearning #education https://t.co/qZnYJoiNAo

@Radiology_AI 1 year ago

"The aim of this article is to discuss data, data creation, and the potential financial stakeholders for the development of #AI in medicine" https://doi.org/10.1148/ryai.220054 @MayoFL_RadRes @ronnie_sebro @MayoRadiology #DataOwnership #ML #MachineLearning https://t.co/2DPMVyczPX

@Radiology_AI 1 year ago

Who Will Get Paid for Artificial Intelligence in Medicine? https://doi.org/10.1148/ryai.220054 @ronnie_sebro @MayoClinic #AI #ML #MachineLearning https://t.co/G33pGSZkXk

@Radiology_AI 1 year ago

Who are the potential financial stakeholders for the development of #AI in medicine? https://doi.org/10.1148/ryai.220054 @ronnie_sebro @MayoClinic #ML #MachineLearning https://t.co/3ftZwhQCU5

@Radiology_AI 2 years ago

Interested in medical imaging and #MachineLearning? Trainees can apply to join our Trainee Editorial Board https://pubs.rsna.org/page/ai/blog/2022/04/ryai_editorsblog0404 @cekahn @judywawira #HITrad #AI #ML https://t.co/u2k19tMSWD

@cekahn 2 years ago

Attention @MICCAI_Society grad students and post-doctoral fellows! Grow your knowledge + skills in medical writing, peer review, statistics, and publication ethics. Apply for the @Radiology_AI Trainee Editorial Board! #MachineLearning #Radiology https://twitter.com/Radiology_AI/status/1512506829951053824

@Radiology_AI 2 years ago

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging https://doi.org/10.1148/ryai.2021200267 @kalpathy1 @MatthewDLi @MGHMartinos #interpretableAI #saliencymap #MachineLearning https://t.co/sb4YUmCPDl

@Radiology_AI 2 years ago

GANs hold promise to facilitate #DeepLearning for personalized and precision medicine https://doi.org/10.1148/ryai.2021200157 @yonsei_u #MSK #GAN #MachineLearning https://t.co/jZ1vKM7XOh

@Radiology_AI 2 years ago

GANs hold promise to facilitate #DeepLearning for personalized and precision medicine https://doi.org/10.1148/ryai.2021200157 @yonsei_u #MSKRad #ML #MachineLearning https://t.co/bncAcFbJD3

@Radiology_AI 2 years ago

GANs hold promise to facilitate #DeepLearning for personalized and precision medicine https://doi.org/10.1148/ryai.2021200157 @yonsei_u #GAN #MSKRad #MachineLearning https://t.co/CKSWRhM0Cy

@Radiology_AI 3 years ago

Learn how to use #AI techniques to reduce noise in medical images https://doi.org/10.1148/ryai.2020200036 @MayoRadiology @Slowvak #RadAI #ML #MachineLearning https://t.co/20BkcM3V4i

@Radiology_AI 3 years ago

Learn how to use #AI techniques to reduce noise in medical images https://doi.org/10.1148/ryai.2020200036 @MayoRadiology @Slowvak #LearningAI #CNN #MachineLearning https://t.co/h1WbHEgzWK

@Radiology_AI 3 years ago

Check out the blog post: "Combatting #Bias in Medical #AI Systems" https://pubs.rsna.org/page/ai/blog/2020/7/ryai_editorsblog0715 @cekahn @PennRadiology #RadAI #ML #MachineLearning https://t.co/htL02Kupck

@Radiology_AI 3 years ago

Failure to consider human factors in past technologies led to poor usability and serious unintended errors https://doi.org/10.1148/ryai.2020190095 @RajRatwani @MedicalHFE #ux #ML #MachineLearning https://t.co/X5D72Rky4N

@Radiology_AI 3 years ago

We should employ user-centered design to maximize success of modern #AI in #radiology. https://doi.org/10.1148/ryai.2020190095 @RajRatwani @MedicalHFE #UserCentered #RadAI #MachineLearning https://t.co/DZHrGDkycu

@Radiology_AI 3 years ago

Development & design of radiology #AI solutions should be done in collaboration with intended users for maximal usability. https://doi.org/10.1148/ryai.2020190095 @RajRatwani @MedicalHFE #RadAI #ML #MachineLearning https://t.co/93osgSbhdB

@HubBucket 4 years ago

#MedTech @SAP #Argus ⚕️ #MachineLearning coupled with #MedicalImaging is Helping Save the Lives of #Cancer #Patients in #China 🇨🇳 ️https://news.sap.com/2019/05/machine-learning-saving-lives-cancer-patients-china/ @HubBucket @HubMedX @ProsumerSoft @ai_in_medicine @Radiology_AI @RadiologyACR @HIMSS @radiology_rsna @IBMWatsonHealth https://t.co/hAVL9yJEDs

@Radiology_AI 4 years ago

Passionate about #AI in #radiology? Join the @RSNA AI Community -- and connect with the best minds in medical imaging! http://ow.ly/RRAN30q9aqm #RadAI #MachineLearning https://t.co/1brz3JAJLA

@DaniaDaye 4 years ago

How to Read Articles That Use #MachineLearning: Users’ Guides to the Medical Literature. #RADAI #AI ⁦@JAMA_current⁩ ⁦@Radiology_AI⁩ https://jamanetwork.com/journals/jama/fullarticle/2754798

@judywawira 4 years ago

I recently joined the editorial board for @Radiology_AI journal to work on a new "Trainee Editorial board" - looking for a diverse group of participants both in medicine and computer science. Please share with your networks and consider applying... #machineLearning #ml4h #AI https://t.co/fI3LhpCYl6

@cekahn 4 years ago

How can AI help better define "normal" values for medical imaging? Check out the latest post to the @Radiology_AI blog! #radiology #ai @RSNA #machinelearning https://lnkd.in/eCh6U65

@curtlanglotz 5 years ago

For those interested in applications of AI/machine learning (ML) to precision medicine, drug development and regulatory science, check out the new @StanfordMed @UCSF @fdacder #machinelearning fellowship. cc @Radiology_AI #RSNA18 https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355